CN102111640B - Effective image area detection method and system - Google Patents
Effective image area detection method and system Download PDFInfo
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- CN102111640B CN102111640B CN201010565841A CN201010565841A CN102111640B CN 102111640 B CN102111640 B CN 102111640B CN 201010565841 A CN201010565841 A CN 201010565841A CN 201010565841 A CN201010565841 A CN 201010565841A CN 102111640 B CN102111640 B CN 102111640B
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Abstract
The invention discloses an effective image area detection method and an effective image area detection system. By the method and the system, the aims of automatically identifying the effective area of an analogue signal and regulating an optimal display position are fulfilled, and the problem of blackedging in the display of the analogue image signal is effectively solved. The method comprises the following steps of: detecting whether image data corresponding to each pixel clock belongs to an effective image or not, and recording coordinate values of the image data; taking counted minimum row and column coordinates as starting coordinates of the effective image area, and taking counted maximum row and column coordinates as the ending coordinates of the effective image area; and finally making a range judgment on a detection result, and outputting an effective signal if a range is legal.
Description
Technical field
The present invention relates to image and show field, particularly a kind of image effective coverage detection method and system.
Technical background
Transmission of analog picture signal (ARGB and CVBS etc.) at present and reduction all are not to be with image effective index signal (DE), thus display terminal when showing this analog signal, all be based on a kind of predefined (empirical value) effectively the mode of viewing area or the effective viewing area of manual setting carry out.Do not have the zone that a kind of unique standard is stipulated effective analog picture signal under the various resolution for existing various on the market signal source equipments (like computer video card and DVD etc.); When so different simulation signal generators shows at same display terminal; The display position of image all maybe be different, and the most significantly performance is exactly to have black surround to exist around the image.
Summary of the invention
First goal of the invention of the present invention is to provide a kind of image effective coverage detection method, reaches the purpose of effective coverage with the adjustment best image position of automatic identification analog signal.
In order to realize first goal of the invention, adopt following technical scheme:
A kind of image effective coverage detection method may further comprise the steps:
For each picture frame, carry out operation as follows:
(1) the effective threshold value of computed image color;
(2) the ranks coordinate is counted, write down the ranks coordinate figure of each pixel;
(3) color parameter and the effective threshold value of color of each pixel of comparison; If the color parameter of pixel satisfies the effective threshold value of color; Then pixel is an effective pixel points; Write down the ranks coordinate figure of all effective pixel points, calculate the origin coordinates and the end coordinate of effective viewing area according to the ranks coordinate figure of all effective pixel points;
(4) output useful signal and origin coordinates and end coordinate.
As a kind of preferred version, the effective threshold value of said color is the effective threshold value of RGB, and said color parameter is a rgb value, if rgb value, judges then that color parameter satisfies the effective threshold value of color more than or equal to the effective threshold value of RGB, pixel is an effective pixel points.
As a kind of preferred version, said step (3) comprising:
Said origin coordinates is row-coordinate minimum value and a row coordinate minimum value in all effective pixel points, and said end coordinate is row-coordinate maximum and a row coordinate maximum in all effective pixel points.
As a kind of preferred version, said step (3) comprising:
Said origin coordinates is row-coordinate and a row coordinate minimum in all effective pixel points;
According to the resolution of image, calculate the length and width of effective viewing area;
According to the length and width of initial ranks coordinate, calculate the end coordinate of effective viewing area with effective viewing area.
As a kind of preferred version, said step (3) comprising:
(51) whether on each pixel clock, detect corresponding color parameter greater than the effective threshold value of color; Produce the threshold decision consequential signal; If color parameter is more than or equal to the effective threshold value of color, then pixel is an effective pixel points, and the threshold decision consequential signal is a high level; Otherwise pixel is the inactive pixels point, and the threshold decision consequential signal is a low level;
(52) at the rising edge of each threshold decision consequential signal, carry out the minimum value compare operation to the row coordinate of effective pixel points and row coordinate minimum value Sx_min, carry out the minimum value compare operation to the row-coordinate value of effective pixel points and row-coordinate minimum value Sy_min;
Said minimum value compare operation is following:
If compare first, then Sx_min is the row coordinate of effective pixel points, and Sy_min is the row-coordinate of effective pixel points, otherwise;
If the row coordinate of effective pixel points is less than Sx_min, then the row coordinate with effective pixel points covers Sx_min, if the row-coordinate of effective pixel points is less than Sy_min, then with the row-coordinate covering Sy_min of effective pixel points;
(53) at the trailing edge of each threshold decision consequential signal, carry out the maximum compare operation to the row coordinate of effective pixel points and row coordinate maximum Ex_max, carry out the maximum compare operation to the row-coordinate value of effective pixel points and row-coordinate maximum Ey_max;
Said maximum compare operation is following:
If compare first, then Ex_max is the row coordinate of effective pixel points, and Ey_max is the row-coordinate of effective pixel points, otherwise;
If the row coordinate of effective pixel points is greater than Ex_max, then the row coordinate with effective pixel points covers Ex_max, if the row-coordinate of effective pixel points is greater than Ey_max, then with the row-coordinate covering Ey_max of effective pixel points;
(54) after present frame finished, Sx_min and Sy_min were the initial row coordinate Sx and the row-coordinate Sy of effective viewing area, and Ex_max and Ey_max are the end column coordinate Ex and the row-coordinate Ey of effective viewing area.
As a kind of preferred version, said step (52) also comprises:
Row coordinate and row-coordinate to effective pixel points carry out the judgement of minimum value legitimacy; If effective pixel points satisfies the requirement of minimum value legitimacy; Then carry out the minimum value compare operation to the row coordinate of effective pixel points and row coordinate minimum value Sx_min, carry out the minimum value compare operation to the row-coordinate value of effective pixel points and row-coordinate minimum value Sy_min;
Said step (53) also comprises:
Row coordinate and row-coordinate to effective pixel points carry out the judgement of maximum legitimacy; If effective pixel points satisfies the requirement of maximum legitimacy; Then carry out the maximum compare operation to the row coordinate of effective pixel points and row coordinate maximum Ex_max, carry out the maximum compare operation to the row-coordinate value of effective pixel points and row-coordinate maximum Ey_max.
As a kind of preferred version, said minimum value legitimacy is judged as follows:
If effective initial row coordinate minimum value the row coordinate of effective pixel points effective initial row coordinate maximum, then the row coordinate of effective pixel points satisfies the requirement of minimum value row coordinate legitimacy;
If effective initial row coordinate minimum value the row-coordinate of effective pixel points effective initial row coordinate maximum, then the row-coordinate of effective pixel points satisfies the requirement of minimum value row-coordinate legitimacy;
Minimum value row coordinate legitimacy requires and the row-coordinate of effective pixel points satisfies the requirement of minimum value row-coordinate legitimacy if the row coordinate of effective pixel points satisfies, and then effective pixel points satisfies the requirement of minimum value legitimacy;
Preferably, effective initial row coordinate minimum value is the row unit synchronous head width, and effective initial row coordinate maximum is the total pixel of every row/2;
Effectively initial row coordinate minimum value is the field synchronization head width, and effectively initial row coordinate maximum is row-coordinate < the total line number of every frame/>2 of effective pixel points;
Said maximum legitimacy is judged as follows:
If effective end column coordinate minimum value the row coordinate of effective pixel points effective end column coordinate maximum, then the row coordinate of effective pixel points satisfies the requirement of maximum row coordinate legitimacy;
If effective end line coordinate minimum value the row-coordinate of effective pixel points effective end line coordinate maximum, then the row-coordinate of effective pixel points satisfies the requirement of maximum row-coordinate legitimacy;
Maximum row coordinate legitimacy requires and the row-coordinate of effective pixel points satisfies the requirement of maximum row-coordinate legitimacy if the row coordinate of effective pixel points satisfies, and then effective pixel points satisfies the requirement of maximum legitimacy;
Preferably, effectively end column coordinate minimum value is the total pixel of every row/2, and effectively end column coordinate maximum is the total pixel of every row;
Effectively end line coordinate minimum value is the total line number of every frame/2, and effectively end line coordinate maximum is the total line number of every frame.
Second goal of the invention of the present invention is to provide a kind of image effective coverage detection system, to use the detection method that first goal of the invention of the present invention is provided.
In order to realize second goal of the invention, adopt following technical scheme:
A kind of image effective coverage detection system; Comprise blanking level computing module, line count module, data judge module and image effective index signal generation module; The blanking level computing module is connected with the data judge module respectively with the line count module, and the data judge module is connected with image effective index signal generation module again:
The blanking level computing module is used for the effective threshold value of computed image color;
The line count module is used for the ranks coordinate is counted, and writes down the ranks coordinate figure of each pixel;
The data judge module is used for the color parameter and the effective threshold value of color of each pixel of comparison; If the color parameter of pixel satisfies the effective threshold value of color; Then pixel is an effective pixel points; Write down the ranks coordinate figure of all effective pixel points, calculate the origin coordinates and the end coordinate of effective viewing area according to the ranks coordinate figure of all effective pixel points;
Image effective index signal generation module is used to export useful signal and origin coordinates and end coordinate.
As a kind of preferred version, the effective threshold value of said color is the effective threshold value of RGB, and said color parameter is a rgb value, if rgb value, judges then that color parameter satisfies the effective threshold value of color more than or equal to the effective threshold value of RGB, pixel is an effective pixel points.
As a kind of preferred version, said data judge module also comprises interconnective effective pixel points judgement submodule, legitimacy judgement submodule and effective viewing area coordinate Calculation submodule;
Effective pixel points judges that submodule is used to judge whether pixel is effective pixel points, if the color parameter of pixel satisfies the effective threshold value of color, judges that then pixel is an effective pixel points;
Legitimacy judges that submodule judges according to minimum value legitimacy judgment rule whether the row coordinate of effective pixel points and row-coordinate satisfy the requirement of minimum value legitimacy, judges according to maximum legitimacy judgment rule whether the row coordinate of effective pixel points and row-coordinate satisfy the requirement of maximum legitimacy;
Effectively viewing area coordinate Calculation submodule satisfies from all and selects row-coordinate minimum value and row coordinate minimum value as the effective origin coordinates of viewing area the effective pixel points that the minimum value legitimacy requires, and satisfies selection row-coordinate maximum and row coordinate maximum the effective pixel points that the maximum legitimacy requires from all;
If effective initial row coordinate minimum value the row coordinate of effective pixel points effective initial row coordinate maximum, then the row coordinate of effective pixel points satisfies the requirement of minimum value row coordinate legitimacy;
If effective initial row coordinate minimum value the row-coordinate of effective pixel points effective initial row coordinate maximum, then the row-coordinate of effective pixel points satisfies the requirement of minimum value row-coordinate legitimacy;
Minimum value row coordinate legitimacy requires and the row-coordinate of effective pixel points satisfies the requirement of minimum value row-coordinate legitimacy if the row coordinate of effective pixel points satisfies, and then effective pixel points satisfies the requirement of minimum value legitimacy;
Preferably, effective initial row coordinate minimum value is the row unit synchronous head width, and effective initial row coordinate maximum is the total pixel of every row/2;
Effectively initial row coordinate minimum value is the field synchronization head width, and effectively initial row coordinate maximum is row-coordinate < the total line number of every frame/>2 of effective pixel points;
Said maximum legitimacy is judged as follows:
If effective end column coordinate minimum value the row coordinate of effective pixel points effective end column coordinate maximum, then the row coordinate of effective pixel points satisfies the requirement of maximum row coordinate legitimacy;
If effective end line coordinate minimum value the row-coordinate of effective pixel points effective end line coordinate maximum, then the row-coordinate of effective pixel points satisfies the requirement of maximum row-coordinate legitimacy;
Maximum row coordinate legitimacy requires and the row-coordinate of effective pixel points satisfies the requirement of maximum row-coordinate legitimacy if the row coordinate of effective pixel points satisfies, and then effective pixel points satisfies the requirement of maximum legitimacy;
Preferably, effectively end column coordinate minimum value is the total pixel of every row/2, and effectively end column coordinate maximum is the total pixel of every row;
Effectively end line coordinate minimum value is the total line number of every frame/2, and effectively end line coordinate maximum is the total line number of every frame.
Maximum row coordinate legitimacy requires and the row-coordinate of effective pixel points satisfies the requirement of maximum row-coordinate legitimacy if the row coordinate of effective pixel points satisfies, and then effective pixel points satisfies the requirement of maximum legitimacy.
Compared with prior art, the invention has the beneficial effects as follows: the purpose of effective coverage of having realized automatic identification analog signal and adjustment best image position has solved there is black surround in analog picture signal when showing problem.
Description of drawings
Fig. 1 is a method flow diagram of the present invention;
Fig. 2 is a system configuration sketch map of the present invention;
Fig. 3 is an image of the present invention effective coverage sketch map.
Embodiment
Below in conjunction with accompanying drawing the present invention is done further description.
Said origin coordinates is row-coordinate and a row coordinate minimum in all effective pixel points;
According to the resolution of image, calculate the length and width of effective viewing area;
According to the length and width of initial ranks coordinate, calculate the end coordinate of effective viewing area with effective viewing area.The image effective coverage is as shown in Figure 3.
The method flow of the embodiment of the invention is as shown in Figure 1, and the image color parameter is a rgb value among the embodiment, and the effective threshold value of color is the effective threshold value of RGB, may further comprise the steps:
For each picture frame, carry out operation as follows:
Step 1, the effective threshold value of computed image RGB;
1) at first calculate the blanking level average, the blanking level average is a blanking level average (RGB average) during row field sync signal (HS and VS), as a judgement of system level noise, is used to eliminate the level DC biasing of some ARGB signal sources.The noise size of this analog signal has been reflected in this average side;
2) calculate the effective threshold value of RGB=blanking level average (RGB average)+practical application experience value.The practical application experience value can be according to blanking level average (RGB average) size, correspondingly does the size adjustment.When blanking level average (RGB average) was big, the also corresponding choosing of practical application experience value was big; Blanking level average (RGB average) hour, the practical application experience value can be selected smaller.
Step 2 is counted the ranks coordinate, writes down the ranks coordinate figure of each pixel;
Whether step 3 detects corresponding color parameter greater than the effective threshold value of color on each pixel clock, produce the threshold decision consequential signal; If color parameter is more than or equal to the effective threshold value of color; Then pixel is an effective pixel points, and the threshold decision consequential signal is a high level, otherwise pixel is the inactive pixels point; The threshold decision consequential signal is low level, and is as shown in Figure 4;
Step 4 at the rising edge of each threshold decision consequential signal, is carried out the minimum value compare operation to the row coordinate of effective pixel points and row coordinate minimum value Sx_min, carries out the minimum value compare operation to the row-coordinate value of effective pixel points and row-coordinate minimum value Sy_min;
Said minimum value compare operation is following:
If compare first, then Sx_min is the row coordinate of effective pixel points, and Sy_min is the row-coordinate of effective pixel points, otherwise;
If the row coordinate of effective pixel points is less than Sx_min, then the row coordinate with effective pixel points covers Sx_min, if the row-coordinate of effective pixel points is less than Sy_min, then with the row-coordinate covering Sy_min of effective pixel points;
Step 5 at the trailing edge of each threshold decision consequential signal, is carried out the maximum compare operation to the row coordinate of effective pixel points and row coordinate maximum Ex_max, carries out the maximum compare operation to the row-coordinate value of effective pixel points and row-coordinate maximum Ey_max;
Said maximum compare operation is following:
If compare first, then Ex_max is the row coordinate of effective pixel points, and Ey_max is the row-coordinate of effective pixel points, otherwise;
If the row coordinate of effective pixel points is greater than Ex_max, then the row coordinate with effective pixel points covers Ex_max, if the row-coordinate of effective pixel points is greater than Ey_max, then with the row-coordinate covering Ey_max of effective pixel points;
Step 6, after present frame finished, Sx_min and Sy_min were the initial row coordinate Sx and the row-coordinate Sy of effective viewing area, and Ex_max and Ey_max are the end column coordinate Ex and the row-coordinate Ey of effective viewing area.
Step 7 is exported useful signal and origin coordinates and end coordinate at last.
Said step 4 also comprises the legitimacy judgement:
Row coordinate and row-coordinate to effective pixel points carry out the judgement of minimum value legitimacy; If effective pixel points satisfies the requirement of minimum value legitimacy; Then carry out the minimum value compare operation to the row coordinate of effective pixel points and row coordinate minimum value Sx_min, carry out the minimum value compare operation to the row-coordinate value of effective pixel points and row-coordinate minimum value Sy_min;
Said step 5 also comprises the legitimacy judgement:
Row coordinate and row-coordinate to effective pixel points carry out the judgement of maximum legitimacy; If effective pixel points satisfies the requirement of maximum legitimacy; Then carry out the maximum compare operation to the row coordinate of effective pixel points and row coordinate maximum Ex_max, carry out the maximum compare operation to the row-coordinate value of effective pixel points and row-coordinate maximum Ey_max.
If effective initial row coordinate minimum value the row coordinate of effective pixel points effective initial row coordinate maximum, then the row coordinate of effective pixel points satisfies the requirement of minimum value row coordinate legitimacy;
If effective initial row coordinate minimum value the row-coordinate of effective pixel points effective initial row coordinate maximum, then the row coordinate of effective pixel points satisfies the requirement of minimum value row-coordinate legitimacy;
Minimum value row coordinate legitimacy requires and the row-coordinate of effective pixel points satisfies the requirement of minimum value row-coordinate legitimacy if the row coordinate of effective pixel points satisfies, and then effective pixel points satisfies the requirement of minimum value legitimacy;
Preferably, effective initial row coordinate minimum value is the row unit synchronous head width, and effective initial row coordinate maximum is the total pixel of every row/2;
Effectively initial row coordinate minimum value is the field synchronization head width, and effectively initial row coordinate maximum is row-coordinate < the total line number of every frame/>2 of effective pixel points;
Said maximum legitimacy is judged as follows:
If effective end column coordinate minimum value the row coordinate of effective pixel points effective end column coordinate maximum, then the row coordinate of effective pixel points satisfies the requirement of maximum row coordinate legitimacy;
If effective end line coordinate minimum value the row-coordinate of effective pixel points effective end line coordinate maximum, then the row coordinate of effective pixel points satisfies the requirement of maximum row-coordinate legitimacy;
Maximum row coordinate legitimacy requires and the row-coordinate of effective pixel points satisfies the requirement of maximum row-coordinate legitimacy if the row coordinate of effective pixel points satisfies, and then effective pixel points satisfies the requirement of maximum legitimacy;
Preferably, effectively end column coordinate minimum value is the total pixel of every row/2, and effectively end column coordinate maximum is the total pixel of every row;
Effectively end line coordinate minimum value is the total line number of every frame/2, and effectively end line coordinate maximum is the total line number of every frame.
Maximum row coordinate legitimacy requires and the row-coordinate of effective pixel points satisfies the requirement of maximum row-coordinate legitimacy if the row coordinate of effective pixel points satisfies, and then effective pixel points satisfies the requirement of maximum legitimacy.
For the input signal of various resolution, the width of image effective coverage and highly all fixing.The original position of the effective viewing area of image is but not necessarily fixing, all has difference for the original position of the effective viewing area of image of same resolution different signal sources.So second embodiment of the present invention; Execution in step 1～step 4 at first; Draw the corresponding effective viewing area of the image length and width of its resolution through detecting the capable field frequencies range information of input signal, tabling look-up then, draw the origin coordinates of the effective viewing area of input signal image again according to step 4; Calculate the end coordinate of the effective viewing area of image then, thus execution in step 7 output useful signal and origin coordinates and end coordinate.
System configuration of the present invention is as shown in Figure 2; Comprise blanking level computing module, line count module, data judge module and image effective index signal generation module; The blanking level computing module is connected with the data judge module respectively with the line count module, and the data judge module is connected with image effective index signal generation module again:
The blanking level computing module is used for the effective threshold value of computed image color;
The line count module is used for the ranks coordinate is counted, and writes down the ranks coordinate figure of each pixel;
The data judge module is used for the color parameter and the effective threshold value of color of each pixel of comparison; If the color parameter of pixel satisfies the effective threshold value of color; Then pixel is an effective pixel points; Write down the ranks coordinate figure of all effective pixel points, calculate the origin coordinates and the end coordinate of effective viewing area according to the ranks coordinate figure of all effective pixel points;
Image effective index signal generation module is used to export useful signal and origin coordinates and end coordinate.
As stated, can realize preferably that just the present invention, the foregoing description are merely preferred embodiment of the present invention, be not to be used for limiting practical range of the present invention; Be that all equalizations of doing according to content of the present invention change and modification, all contained by claim of the present invention scope required for protection.
Claims (7)
1. image effective coverage detection method is characterized in that may further comprise the steps:
For each picture frame, carry out operation as follows:
(1) the effective threshold value of computed image color;
(2) the ranks coordinate is counted, write down the ranks coordinate figure of each pixel;
(3) color parameter and the effective threshold value of color of each pixel of comparison; If the color parameter of pixel satisfies the effective threshold value of color; Then pixel is an effective pixel points; Write down the ranks coordinate figure of all effective pixel points, calculate the origin coordinates and the end coordinate of effective viewing area according to the ranks coordinate figure of all effective pixel points;
(4) output useful signal and origin coordinates and end coordinate;
Said step (3) comprising:
(51) whether on each pixel clock, detect corresponding color parameter greater than the effective threshold value of color; Produce the threshold decision consequential signal; If color parameter is more than or equal to the effective threshold value of color, then pixel is an effective pixel points, and the threshold decision consequential signal is a high level; Otherwise pixel is the inactive pixels point, and the threshold decision consequential signal is a low level;
(52) at the rising edge of each threshold decision consequential signal, carry out the minimum value compare operation to the row coordinate of effective pixel points and row coordinate minimum value Sx_min, carry out the minimum value compare operation to the row-coordinate value of effective pixel points and row-coordinate minimum value Sy_min;
Said minimum value compare operation is following:
If compare first, then Sx_min is the row coordinate of effective pixel points, and Sy_min is the row-coordinate of effective pixel points, otherwise;
If the row coordinate of effective pixel points is less than Sx_min, then the row coordinate with effective pixel points covers Sx_min, if the row-coordinate of effective pixel points is less than Sy_min, then with the row-coordinate covering Sy_min of effective pixel points;
(53) at the trailing edge of each threshold decision consequential signal, carry out the maximum compare operation to the row coordinate of effective pixel points and row coordinate maximum Ex_max, carry out the maximum compare operation to the row-coordinate value of effective pixel points and row-coordinate maximum Ey_max;
Said maximum compare operation is following:
If compare first, then Ex_max is the row coordinate of effective pixel points, and Ey_max is the row-coordinate of effective pixel points, otherwise;
If the row coordinate of effective pixel points is greater than Ex_max, then the row coordinate with effective pixel points covers Ex_max, if the row-coordinate of effective pixel points is greater than Ey_max, then with the row-coordinate covering Ey_max of effective pixel points;
(54) after present frame finished, Sx_min and Sy_min were the initial row coordinate Sx and the row-coordinate Sy of effective viewing area, and Ex_max and Ey_max are the end column coordinate Ex and the row-coordinate Ey of effective viewing area;
Said step (52) also comprises:
Row coordinate and row-coordinate to effective pixel points carry out the judgement of minimum value legitimacy; If effective pixel points satisfies the requirement of minimum value legitimacy; Then carry out the minimum value compare operation to the row coordinate of effective pixel points and row coordinate minimum value Sx_min, carry out the minimum value compare operation to the row-coordinate value of effective pixel points and row-coordinate minimum value Sy_min;
Said step (53) also comprises:
Row coordinate and row-coordinate to effective pixel points carry out the judgement of maximum legitimacy; If effective pixel points satisfies the requirement of maximum legitimacy; Then carry out the maximum compare operation to the row coordinate of effective pixel points and row coordinate maximum Ex_max, carry out the maximum compare operation to the row-coordinate value of effective pixel points and row-coordinate maximum Ey_max.
2. detection method according to claim 1 is characterized in that, the effective threshold value of said color is the effective threshold value of RGB; Said color parameter is a rgb value; If rgb value, judges then that color parameter satisfies the effective threshold value of color more than or equal to the effective threshold value of RGB, pixel is an effective pixel points.
3. detection method according to claim 1 and 2 is characterized in that, said step (3) comprising:
Said origin coordinates is row-coordinate minimum value and a row coordinate minimum value in all effective pixel points, and said end coordinate is row-coordinate maximum and a row coordinate maximum in all effective pixel points.
4. detection method according to claim 1 and 2 is characterized in that, said step (3) comprising:
Said origin coordinates is row-coordinate and a row coordinate minimum in all effective pixel points;
According to the resolution of image, calculate the length and width of effective viewing area;
According to the length and width of initial ranks coordinate, calculate the end coordinate of effective viewing area with effective viewing area.
5. detection method according to claim 1 is characterized in that:
Said minimum value legitimacy is judged as follows:
If effective initial row coordinate minimum value the row coordinate of effective pixel points effective initial row coordinate maximum, then the row coordinate of effective pixel points satisfies the requirement of minimum value row coordinate legitimacy;
If effective initial row coordinate minimum value the row-coordinate of effective pixel points effective initial row coordinate maximum, then the row-coordinate of effective pixel points satisfies the requirement of minimum value row-coordinate legitimacy;
Minimum value row coordinate legitimacy requires and the row-coordinate of effective pixel points satisfies the requirement of minimum value row-coordinate legitimacy if the row coordinate of effective pixel points satisfies, and then effective pixel points satisfies the requirement of minimum value legitimacy;
Said maximum legitimacy is judged as follows:
If effective end column coordinate minimum value the row coordinate of effective pixel points effective end column coordinate maximum, then the row coordinate of effective pixel points satisfies the requirement of maximum row coordinate legitimacy;
If effective end line coordinate minimum value the row-coordinate of effective pixel points effective end line coordinate maximum, then the row-coordinate of effective pixel points satisfies the requirement of maximum row-coordinate legitimacy;
Maximum row coordinate legitimacy requires and the row-coordinate of effective pixel points satisfies the requirement of maximum row-coordinate legitimacy if the row coordinate of effective pixel points satisfies, and then effective pixel points satisfies the requirement of maximum legitimacy.
6. image effective coverage detection system; It is characterized in that; Said system comprises blanking level computing module, line count module, data judge module and image effective index signal generation module; The blanking level computing module is connected with the data judge module respectively with the line count module, and the data judge module is connected with image effective index signal generation module again:
The blanking level computing module is used for the effective threshold value of computed image color;
The line count module is used for the ranks coordinate is counted, and writes down the ranks coordinate figure of each pixel;
The data judge module is used for the color parameter and the effective threshold value of color of each pixel of comparison; If the color parameter of pixel satisfies the effective threshold value of color; Then pixel is an effective pixel points; Write down the ranks coordinate figure of all effective pixel points, calculate the origin coordinates and the end coordinate of effective viewing area according to the ranks coordinate figure of all effective pixel points;
Image effective index signal generation module is used to export useful signal and origin coordinates and end coordinate;
Said data judge module also comprises interconnective effective pixel points judgement submodule, legitimacy judgement submodule and effective viewing area coordinate Calculation submodule;
Effective pixel points judges that submodule is used to judge whether pixel is effective pixel points, if the color parameter of pixel satisfies the effective threshold value of color, judges that then pixel is an effective pixel points;
Legitimacy judges that submodule judges according to minimum value legitimacy judgment rule whether the row coordinate of effective pixel points and row-coordinate satisfy the requirement of minimum value legitimacy, judges according to maximum legitimacy judgment rule whether the row coordinate of effective pixel points and row-coordinate satisfy the requirement of maximum legitimacy;
Effectively viewing area coordinate Calculation submodule satisfies from all and selects row-coordinate minimum value and row coordinate minimum value as the effective origin coordinates of viewing area the effective pixel points that the minimum value legitimacy requires, and satisfies the end coordinate of selecting row-coordinate maximum and the effective viewing area of row coordinate maximum conduct the effective pixel points that the maximum legitimacy requires from all;
Said minimum value legitimacy requires:
If effective initial row coordinate minimum value the row coordinate of effective pixel points effective initial row coordinate maximum, then the row coordinate of effective pixel points satisfies the requirement of minimum value row coordinate legitimacy;
If effective initial row coordinate minimum value the row-coordinate of effective pixel points effective initial row coordinate maximum, then the row-coordinate of effective pixel points satisfies the requirement of minimum value row-coordinate legitimacy;
Minimum value row coordinate legitimacy requires and the row-coordinate of effective pixel points satisfies the requirement of minimum value row-coordinate legitimacy if the row coordinate of effective pixel points satisfies, and then effective pixel points satisfies the requirement of minimum value legitimacy;
Said maximum legitimacy requires:
If effective end column coordinate minimum value the row coordinate of effective pixel points effective end column coordinate maximum, then the row coordinate of effective pixel points satisfies the requirement of maximum row coordinate legitimacy;
If effective end line coordinate minimum value the row-coordinate of effective pixel points effective end line coordinate maximum, then the row-coordinate of effective pixel points satisfies the requirement of maximum row-coordinate legitimacy;
Maximum row coordinate legitimacy requires and the row-coordinate of effective pixel points satisfies the requirement of maximum row-coordinate legitimacy if the row coordinate of effective pixel points satisfies, and then effective pixel points satisfies the requirement of maximum legitimacy.
7. detection system according to claim 6 is characterized in that, the effective threshold value of said color is the effective threshold value of RGB; Said color parameter is a rgb value; If rgb value, judges then that color parameter satisfies the effective threshold value of color more than or equal to the effective threshold value of RGB, pixel is an effective pixel points.
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| CN102497488A (en) * | 2011-11-30 | 2012-06-13 | 广东威创视讯科技股份有限公司 | Method and device for removing image black margins |
| CN103369205B (en) * | 2012-03-26 | 2016-11-16 | 宇龙计算机通信科技(深圳)有限公司 | Mobile terminal and method of video image processing |
| CN102984437A (en) * | 2012-12-17 | 2013-03-20 | 广东威创视讯科技股份有限公司 | Removal method and device for analog video signal letter box based on FPGA |
| CN105488821B (en) * | 2015-11-20 | 2022-02-01 | 厦门雅迅网络股份有限公司 | Method and device for correcting image center point |
| CN105450908A (en) * | 2015-12-02 | 2016-03-30 | 厦门雅迅网络股份有限公司 | Method and device for removing black edge from video image |
| CN106204588B (en) * | 2016-07-08 | 2020-03-17 | 腾讯科技（深圳）有限公司 | Image processing method and device |
| CN108696710B (en) * | 2017-04-11 | 2020-09-04 | 杭州海康威视数字技术股份有限公司 | Image display method and device |
| CN109974387B (en) * | 2019-03-07 | 2020-11-20 | 青岛海尔电冰箱有限公司 | Illumination control method for refrigerator compartment and refrigerator |
| CN111417007B (en) * | 2020-03-25 | 2022-07-12 | Oppo广东移动通信有限公司 | Image transmission method, device, terminal and storage medium |
| CN114071209A (en) * | 2020-08-05 | 2022-02-18 | 晶晨半导体(上海)股份有限公司 | Method and device for detecting video image display area in real time and electronic equipment |
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